Faculty Profiles - TSUCHIKAWA, Satoru

Papers - TSUCHIKAWA, Satoru

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A novel combined application of capacitive method and near-infrared spectroscopy for predicting the density and moisture content of solid wood Reviewed

Vu Thi Hong Tham, Tetsuya Inagaki, Satoru Tsuchikawa

Wood Science and Technology Vol. 52 ( 1 ) page： 115 - 129 2018.1

Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：Springer Verlag

The use of a capacitive method and near-infrared (NIR) spectroscopy to simultaneously predict the density and moisture content (MC) of wood samples was investigated. Prediction accuracy of both methods was individually investigated by multivariate analyses. The capacity and absorbance at two wavelengths in the NIR range were combined to predict both the properties by the specific models. All wavelength combinations in the range of 908–1676 nm were tested, and the best combination yielding the highest coefficient of determination (R2) was chosen. This novel method showed a strong correlation between predicted and measured data, independent of sample thickness and wood species. The prediction accuracy of the wood samples, from green wood to oven-dried conditions, showed promising results for all thicknesses, with R2 = 0.79, root-mean-square error of cross-validation (RMSECV) = 0.10 g/cm3, and residual predictive deviation (RPD) = 2.22 for density and R2 = 0.80, RMSECV = 25.70%, and RPD = 2.22 for MC. In the case of below fiber saturation point to oven-dried state, R2 value was slightly decreased in the prediction of MC and slightly increased in the prediction of density, but RMSECV of MC declined significantly (maximum 5.46%) compared to the range of MC from saturated point (maximum 39.56%). These results were considerably better than those obtained by modeling the capacitive or NIR method individually, and improvement was particularly apparent in estimating density. The results suggest the possibility of a new device combining the capacitive method and NIR spectroscopy to predict density and MC more accurately.

DOI： 10.1007/s00226-017-0974-x

Web of Science

Scopus

Near-infrared hyperspectral imaging for classification of mung bean seeds Reviewed Open Access

Kaewkarn Phuangsombut, Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa, Anupun Terdwongworakul

International Journal of Food Properties Vol. 21 ( 1 ) page： 799 - 807 2018

Language：English Publishing type：Research paper (scientific journal)

©2018 Kaewkarn Phuangsombut, Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa and Anupun Terdwongworakul. Hard mung bean seeds pose a problem in the sprouting process as they develop mold and infect neighboring seeds. Near-infrared hyperspectral imaging combined with partial least squares discriminant analysis was applied to develop a classifying model to separate hard mung beans from normal ones. The orientation of the measured beans was found to affect the classification result. The optimal partial least squares discriminant analysis model based on all orientations resulted in a correlation coefficient (R) of 0.919 with a root mean squared error of prediction of 0.197. The non-germinative parts were mapped and were concentrated at one end of the bean. Finally, a germinability index was proposed according to the proportion of colored areas between the germinative and non-germinative parts from the hyperspectral imaging results.

DOI： 10.1080/10942912.2018.1476378

Open Access

Web of Science

Scopus

Inspection of Microfibril Angle of Sugi Wood by THz-TDS Reviewed

Wang H., Tsuchikawa S., Inagaki T.

2018 43RD INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ) page： . 2018

Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI) Reviewed

114. Sofianto, I. A.; Inagaki, T.; Ma, T.; Tsuchikawa, S.

Holzforschung 2018

Quality Evaluation of Engineered Wood by THz-TDS Reviewed

Kashima Moe, Tsuchikawa Satoru, Inagaki Tetsuya

2018 43RD INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ) page： . 2018

Non-destructive evaluation of wood stiffness and fiber coarseness, derived from SilviScan data, via near infrared hyperspectral imaging Reviewed

Ma, T.; Inagaki, T.; Tsuchikawa, S.

Journal of Near Infrared Spectroscopy Vol. 26 ( 6 ) page： 398-405 2018

Inspection of Microfibril Angle of Sugi Wood by THz-TDS Reviewed

Wang H., Tsuchikawa S., Inagaki T.

2018 43RD INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ) page： . 2018

Quality Evaluation of Engineered Wood by THz-TDS Reviewed

Kashima Moe, Tsuchikawa Satoru, Inagaki Tetsuya

2018 43RD INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ) page： . 2018

Dynamic behavior of wood chemical components under drying process measured by near infrared spectroscopy Reviewed

Shiho Sugii, Takaaki Fujimoto, Harusa Tsutsumi, Tetsuya Inagaki, Satoru Tsuchikawa

Journal of Near Infrared Spectroscopy Vol. 25 ( 6 ) page： 400 - 406 2017.12

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：SAGE Publications Ltd

This study examined the dynamic behavior of wood chemical components during the drying process using near infrared spectroscopy. Principal component analysis and generalized two-dimensional correlation spectroscopy were applied to identify significant absorption bands from the heavily overlapping near infrared spectra. The near infrared spectra were successively acquired over the moisture content range of 60-11%. The principal component analysis scores indicated that the wood-water interaction in the moisture content range of 60-46% significantly differed from that in the range of 45-11%. The synchronous 2D correlation spectrum constructed from the spectra in the moisture content range of 60-46% revealed that the cell wall components and water molecules responded to the drying process even though the wood exceeded the fiber saturation point. In the moisture content range of 45-11%, the H-bonded OH groups in the crystalline region of cellulose clearly increased with the decrease in bound water. Moreover, the sequential order of events was also clarified from the asynchronous spectrum.

DOI： 10.1177/0967033517733379

Web of Science

Scopus

High-Resolution and Non-destructive Evaluation of the Spatial Distribution of Nitrate and Its Dynamics in Spinach (Spinacia oleracea L.) Leaves by Near-Infrared Hyperspectral Imaging Reviewed

Yang, H.; Inagaki, T.; Ma, T.; Tsuchikawa, S.

frontiers in Plant Science Vol. 8 page： 10.3389/fpls.2017.01937 2017.11

Temperature dependence of wood photodegradation monitored by infrared spectroscopy Reviewed

Denes Varga, Laszlo Tolvaj, Satoru Tsuchikawa, Laszlo Bejo, Edina Preklet

JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY Vol. 348 page： 219 - 225 2017.11

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：ELSEVIER SCIENCE SA

The temperature dependence of the photodegradation of hardwoods (beech, Fagus sylvatical. and poplar, Populus x euramericana cv. Pannonia) and softwoods (Scots pine, Pinus sylvestris L and spruce, Picea abies Karst.) was investigated. Samples were irradiated by a strong UV emitter mercury lamp at 30 degrees C, 80 degrees C, 120 degrees C and 160 degrees C. A series of samples was treated in the same chamber set to 30 degrees C, 80 degrees C, 120 degrees C and 160 C but without light irradiation (pure thermal treatment). The chemical changes were detected by infrared spectroscopy. The same light irradiation generated much greater absorption change at 160 degrees C than at 30 degrees C. The simultaneous thermal and UV treatment generated much greater absorption increase in the whole investigated infrared region than the sum of absorption increases generated by the individual thermal treatment and UV radiation, separately. Softwoods were more sensitive to the light irradiation at elevated temperatures than hardwoods. Results revealed that four bands around 1770, 1750, 1720 and 1690 cm(-1) emerged in the unconjugated carbonyl region as a result of the UV irradiation at elevated temperatures. The intensity change of these bands is highly dependent on the wood species. Absorption increase was found at 1066 and 1035 cm(-1). (C) 2017 Elsevier B.V. All rights reserved.

DOI： 10.1016/j.jphotochem.2017.08.040

Web of Science

Scopus

Modulus of elasticity prediction model on sugi (Cryptomeria japonica) lumber using online near-infrared (NIR) spectroscopic system Reviewed

Sofianto, I. A.; Inagaki, T.; Kato, K.; Itoh, M.; Tsuchikawa, S.

International Wood Products Journal Vol. 8 ( 4 ) 2017.10

Modulus of elasticity prediction model on sugi (Cryptomeria japonica) lumber using online near-infrared (NIR) spectroscopic system Reviewed

Sofianto Imran Arra'd, Inagaki Tetsuya, Kato Kouchi, Itoh Mariya, Tsuchikawa Satoru

INTERNATIONAL WOOD PRODUCTS JOURNAL Vol. 8 ( 4 ) page： 193 - 200 2017.10

Stiffness and Moisture Content Prediction Model of Wooden Veneer Using Fast Online Near-Infrared (NIR) Spectroscopic System Reviewed

Sofianto, I. A, Inagaki, T, Itoh, M, Tsuchikawa, S

Forestry Research and Engineering: International Journal Vol. 1 ( 2 ) page： 1-5 2017.9

Stiffness and Moisture Content Prediction Model of Wooden Veneer Using Fast Online Near-Infrared (NIR) Spectroscopic System Reviewed

Sofianto, I. A.; Inagaki, T.; Itoh, M.; Tsuchikawa, S.

Forestry Research and Engineering: International Journal Vol. 1 ( 2 ) page： 1-5 2017.9

High spatial resolution and non-destructive evaluation of wood density and microfibril angle by NIR hyperspectral imaging

Ma, T.; Inagaki, T.; Tsuchikawa, S.

Vol. 28 ( 5 ) page： 7-12 2017.6

High spatial resolution and non-destructive evaluation of wood density and microfibril angle by NIR hyperspectral imaging Invited Reviewed

Ma, T, Inagaki, T, Tsuchikawa, S

Vol. 28 ( 5 ) page： 7-12 2017.6

Segregating wood wastes by repetitive principal component analysis of near infrared spectra Reviewed

Hikaru Kobori, Sakura Higa, Satoru Tsuchikawa, Yoichi Kojima, Shigehiko Suzuki

JOURNAL OF NEAR INFRARED SPECTROSCOPY Vol. 25 ( 3 ) page： 180 - 187 2017.6

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：SAGE PUBLICATIONS LTD

To improve the recycling rate of wooden materials, it is necessary to classify wood waste by disposal method and usage. In the industrial manufacture of these materials, rapid and accurate determination of their chemical and physical properties is critical for a stable supply of wood products with reliable quality. In this study, we investigated a discriminant analysis process for waste wood products using hyperspectral imaging with a newly developed repetitive principal component analysis. Hyperspectral images of four types of wood waste (plywood coated with resin, preservative-treated wood, hardwood and softwood) were acquired. The mean spectrum of each sample was extracted from a hypercube in order to build a classification model. A novel classification method based on principal component analysis, named repetitive principal component analysis, was developed. A total of three repetitions of principal component analysis were performed to classify the four types of wood waste. Cross-validated results of repetitive principal component analysis resulted in classifications greater than 85% for any of the four wood waste types. The discriminant model was then applied to single-pixel spectra of the hypercube to form a prediction map. Hyperspectral imaging, with the aid of the new repetitive principal component analysis discriminant analysis, is a powerful tool in wood recycling processes.

DOI： 10.1177/0967033517714344

Web of Science

Scopus

Calibration of SilviScan data of Cryptomeria japonica wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution Reviewed

Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa

HOLZFORSCHUNG Vol. 71 ( 4 ) page： 341 - 347 2017.4

Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：WALTER DE GRUYTER GMBH

Wood density and microfibril angle (MFA) are strongly correlated with wood stiffness, swelling/shrinkage, and its anisotropy. Understanding the spatial distribution of these data is critical for solid timber applications. In this study, near-infrared (NIR) hyperspectral imaging has been calibrated for evaluation of wood density and MFA in an effective manner. Briefly, five wood samples collected from both normal wood (NW) and compression wood (CW) moieties of two different Cryptomeria japonica trees were analyzed. Partial least squares (PLS) regression analysis was performed to determine the relationship between X-ray densitometry data obtained by SilviScan and NIR spectra, and cross-validation (leave-one-out) approach served for prediction performances. The validation coefficient of determination (r(2)) between the predicted densities by the NIR technique and the X-ray data was 0.83 with a root mean squared error of cross-validation (RMSECV) of 105.2 kg m(-3). Regarding MFA, the r(2) was 0.77 and RMSECV 5.36 degrees. Wood density was successfully maped as well as the MFA at a high spatial resolution. As a result, the detection of annual growth ring features and evaluation of aspects of heterogeneous wood quality has been facilitated. The mapping results were visually checked by looking at the difference between earlywood (EW) and latewood (LW) for density and by means of the Maule color reaction indicating high lignin contents in CW in terms of MFA validation as CWs have high MFA values.

DOI： 10.1515/hf-2016-0153

Web of Science

Scopus

Temperature dependence of wood photodegradation monitored by infrared spectroscopy

Varga, D, Tolvaj, L, Tsuchikawa, S, Bejoc, L, Prekleta, E

Journal of Photochemistry and Photobiology A: Chemistry Vol. 348 page： 219-225 2017

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Papers - TSUCHIKAWA, Satoru